Dependent. First event is whether applicant on drugs or not. Second event is whether test positive or negative. Second event's probability depends on outcome of first event, so events are dependent. Hopefully this is useful after 7 months )
But aren't the 2% actually on drugs also since they tested positive? Since the 2% is a false positive rate, they got the result of not being on drugs incorrectly. So given the applicant tests positive, the probability they are actually on drugs are 100%. (I'm overthinking this maybe..)
Sal got me through my engineering degree, thank you!
Fascinating! Thanks, Sal, I'm your biggest fun. I skipped a lot at school, and you're helping me to fill in the gaps. Greetings from Brazil.
I love this the best probability video I've ever played. Thanks
True
The way he explains math better than anyone else
This isn't math?
Great hitmarker cursor
lmaoooo 😂💀
@@bobthebb-illder827 Makes me wonder if he plays CS:GO
Nice explanation. Thank you.
Well done!
thank you
Thank you
Good explanation
Really helpful thanks
Sal tryna explain that he didn't do drugs
You're not fooling anyone
thank you sal
You are the best
shouldnt you multiply the 500 on drugs by the true positive rate not the true negative rate
Better call Sal:-)
if it is stated that 5% of the applicants are actually on drugs, shouldn't the test be irrelevant when selecting randomly?
no because there is a 5% chance that the guys were actually on drugs. sorry for replying 2 years later im studying for an exam
Did he mix up false negative and positives, or am I just confused?
U are right
R U TAKING DRUGS?
why didn't we divide by 500+190?
Because we arent checking for the case where the test shows +ve.
Is this a dependent or independent pls someone tell me
Dependent.
First event is whether applicant on drugs or not. Second event is whether test positive or negative. Second event's probability depends on outcome of first event, so events are dependent.
Hopefully this is useful after 7 months )
But aren't the 2% actually on drugs also since they tested positive? Since the 2% is a false positive rate, they got the result of not being on drugs incorrectly. So given the applicant tests positive, the probability they are actually on drugs are 100%. (I'm overthinking this maybe..)
2% false positive rate means that the test shows someone who is NOT on drugs is on drugs 2% of the time
first :)
Jake Ramirez 🅱️
bro this is wrong.
ikr im getting different ans T_T